Permeability Modelling of a Sandstone Reservoir in Parts of the Niger Delta (original) (raw)

SSRN Electronic Journal, 2019

Abstract

Aimed at determining a more reliable method of estimating permeability from well log data, in the absence of core data, 4 predictive empirical models for estimating permeabilities (RGPZ model, Van Baaren’s model, Timur’s model and Berg’s model) were applied to two different reservoirs in a single well from an oil field in the Niger Delta. With the models employed at different cementation factors (m=1.5, 1.65, 1.80, 1.95, 2.10, 2.25, 2.40, 2.55, 2.70, 2.85, 3.00), using well log data from the reservoirs of interest, as a function of depth, measures of normalized root mean square error (NRMSE), relative to permeabilities measured from core analysis at the same reservoir interval, were used to determine which predictive model was more reliable. Obtained results showed the most reliable predictive model at m=1.65. At this cementation factor, the NRMSE for RGPZ model, Van Baaren’s model, Timur’s model and Berg’s model were 4.95, 30.38, 1.85, and 1.20 respectively in the first reservoir and 4.28, 24.69, 1.56 and 1.09 respectively in the second reservoir. Hence, Van Baaren’s model provided a more reliable measure of in-situ permeabilities in the reservoirs of the Niger delta as it had a lower measure of NRMSE in the reservoirs of interest.

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